diff options
Diffstat (limited to 'intern/cycles/device/device_optix.cpp')
-rw-r--r-- | intern/cycles/device/device_optix.cpp | 393 |
1 files changed, 330 insertions, 63 deletions
diff --git a/intern/cycles/device/device_optix.cpp b/intern/cycles/device/device_optix.cpp index 7335e0bc64d..979ea7dba23 100644 --- a/intern/cycles/device/device_optix.cpp +++ b/intern/cycles/device/device_optix.cpp @@ -42,6 +42,9 @@ # include <optix_stubs.h> # include <optix_function_table_definition.h> +// TODO(pmours): Disable this once drivers have native support +# define OPTIX_DENOISER_NO_PIXEL_STRIDE 1 + CCL_NAMESPACE_BEGIN /* Make sure this stays in sync with kernel_globals.h */ @@ -107,6 +110,30 @@ struct KernelParams { } \ (void)0 +# define CUDA_GET_BLOCKSIZE(func, w, h) \ + int threads; \ + check_result_cuda_ret( \ + cuFuncGetAttribute(&threads, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, func)); \ + threads = (int)sqrt((float)threads); \ + int xblocks = ((w) + threads - 1) / threads; \ + int yblocks = ((h) + threads - 1) / threads; + +# define CUDA_LAUNCH_KERNEL(func, args) \ + check_result_cuda_ret(cuLaunchKernel( \ + func, xblocks, yblocks, 1, threads, threads, 1, 0, cuda_stream[thread_index], args, 0)); + +/* Similar as above, but for 1-dimensional blocks. */ +# define CUDA_GET_BLOCKSIZE_1D(func, w, h) \ + int threads; \ + check_result_cuda_ret( \ + cuFuncGetAttribute(&threads, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, func)); \ + int xblocks = ((w) + threads - 1) / threads; \ + int yblocks = h; + +# define CUDA_LAUNCH_KERNEL_1D(func, args) \ + check_result_cuda_ret(cuLaunchKernel( \ + func, xblocks, yblocks, 1, threads, 1, 1, 0, cuda_stream[thread_index], args, 0)); + class OptiXDevice : public Device { // List of OptiX program groups @@ -186,6 +213,9 @@ class OptiXDevice : public Device { map<device_memory *, CUDAMem> cuda_mem_map; bool move_texture_to_host = false; + OptixDenoiser denoiser = NULL; + vector<pair<int2, CUdeviceptr>> denoiser_state; + public: OptiXDevice(DeviceInfo &info_, Stats &stats_, Profiler &profiler_, bool background_) : Device(info_, stats_, profiler_, background_), @@ -262,6 +292,9 @@ class OptiXDevice : public Device { launch_params.data_elements = sizeof(KernelParams); // Allocate launch parameter buffer memory on device launch_params.alloc_to_device(info.cpu_threads); + + // Create denoiser state entries for all threads (but do not allocate yet) + denoiser_state.resize(info.cpu_threads); } ~OptiXDevice() { @@ -272,7 +305,11 @@ class OptiXDevice : public Device { for (CUdeviceptr mem : as_mem) { cuMemFree(mem); } - as_mem.clear(); + + // Free denoiser state for all threads + for (const pair<int2, CUdeviceptr> &state : denoiser_state) { + cuMemFree(state.second); + } sbt_data.free(); texture_info.free(); @@ -296,6 +333,9 @@ class OptiXDevice : public Device { for (CUstream stream : cuda_stream) cuStreamDestroy(stream); + if (denoiser != NULL) + optixDenoiserDestroy(denoiser); + // Destroy OptiX and CUDA context optixDeviceContextDestroy(context); cuDevicePrimaryCtxRelease(cuda_device); @@ -686,46 +726,298 @@ class OptiXDevice : public Device { } } - void launch_denoise(DeviceTask &task, RenderTile &rtile, int thread_index) + bool launch_denoise(DeviceTask &task, RenderTile &rtile, int thread_index) { + int total_samples = rtile.start_sample + rtile.num_samples; + const CUDAContextScope scope(cuda_context); - // Run CUDA denoising kernels - DenoisingTask denoising(this, task); - denoising.functions.construct_transform = function_bind( - &OptiXDevice::denoising_construct_transform, this, &denoising, thread_index); - denoising.functions.accumulate = function_bind( - &OptiXDevice::denoising_accumulate, this, _1, _2, _3, _4, &denoising, thread_index); - denoising.functions.solve = function_bind( - &OptiXDevice::denoising_solve, this, _1, &denoising, thread_index); - denoising.functions.divide_shadow = function_bind( - &OptiXDevice::denoising_divide_shadow, this, _1, _2, _3, _4, _5, &denoising, thread_index); - denoising.functions.non_local_means = function_bind( - &OptiXDevice::denoising_non_local_means, this, _1, _2, _3, _4, &denoising, thread_index); - denoising.functions.combine_halves = function_bind(&OptiXDevice::denoising_combine_halves, - this, - _1, - _2, - _3, - _4, - _5, - _6, - &denoising, - thread_index); - denoising.functions.get_feature = function_bind( - &OptiXDevice::denoising_get_feature, this, _1, _2, _3, _4, _5, &denoising, thread_index); - denoising.functions.write_feature = function_bind( - &OptiXDevice::denoising_write_feature, this, _1, _2, _3, &denoising, thread_index); - denoising.functions.detect_outliers = function_bind( - &OptiXDevice::denoising_detect_outliers, this, _1, _2, _3, _4, &denoising, thread_index); - - denoising.filter_area = make_int4(rtile.x, rtile.y, rtile.w, rtile.h); - denoising.render_buffer.samples = rtile.sample = rtile.start_sample + rtile.num_samples; - denoising.buffer.gpu_temporary_mem = true; - - denoising.run_denoising(&rtile); + // Choose between OptiX and NLM denoising + if (task.denoising_use_optix) { + // Map neighboring tiles onto this device, indices are as following: + // Where index 4 is the center tile and index 9 is the target for the result. + // 0 1 2 + // 3 4 5 + // 6 7 8 9 + RenderTile rtiles[10]; + rtiles[4] = rtile; + task.map_neighbor_tiles(rtiles, this); + + // Calculate size of the tile to denoise (including overlap) + int4 rect = make_int4( + rtiles[4].x, rtiles[4].y, rtiles[4].x + rtiles[4].w, rtiles[4].y + rtiles[4].h); + // Overlap between tiles has to be at least 64 pixels + // TODO(pmours): Query this value from OptiX + rect = rect_expand(rect, 64); + int4 clip_rect = make_int4( + rtiles[3].x, rtiles[1].y, rtiles[5].x + rtiles[5].w, rtiles[7].y + rtiles[7].h); + rect = rect_clip(rect, clip_rect); + int2 rect_size = make_int2(rect.z - rect.x, rect.w - rect.y); + int2 overlap_offset = make_int2(rtile.x - rect.x, rtile.y - rect.y); + + // Calculate byte offsets and strides + int pixel_stride = task.pass_stride * (int)sizeof(float); + int pixel_offset = (rtile.offset + rtile.x + rtile.y * rtile.stride) * pixel_stride; + const int pass_offset[3] = { + (task.pass_denoising_data + DENOISING_PASS_COLOR) * (int)sizeof(float), + (task.pass_denoising_data + DENOISING_PASS_ALBEDO) * (int)sizeof(float), + (task.pass_denoising_data + DENOISING_PASS_NORMAL) * (int)sizeof(float)}; + + // Start with the current tile pointer offset + int input_stride = pixel_stride; + device_ptr input_ptr = rtile.buffer + pixel_offset; + + // Copy tile data into a common buffer if necessary + device_only_memory<float> input(this, "denoiser input"); + device_vector<TileInfo> tile_info_mem(this, "denoiser tile info", MEM_READ_WRITE); + + if ((!rtiles[0].buffer || rtiles[0].buffer == rtile.buffer) && + (!rtiles[1].buffer || rtiles[1].buffer == rtile.buffer) && + (!rtiles[2].buffer || rtiles[2].buffer == rtile.buffer) && + (!rtiles[3].buffer || rtiles[3].buffer == rtile.buffer) && + (!rtiles[5].buffer || rtiles[5].buffer == rtile.buffer) && + (!rtiles[6].buffer || rtiles[6].buffer == rtile.buffer) && + (!rtiles[7].buffer || rtiles[7].buffer == rtile.buffer) && + (!rtiles[8].buffer || rtiles[8].buffer == rtile.buffer)) { + // Tiles are in continous memory, so can just subtract overlap offset + input_ptr -= (overlap_offset.x + overlap_offset.y * rtile.stride) * pixel_stride; + // Stride covers the whole width of the image and not just a single tile + input_stride *= rtile.stride; + } + else { + // Adjacent tiles are in separate memory regions, so need to copy them into a single one + input.alloc_to_device(rect_size.x * rect_size.y * task.pass_stride); + // Start with the new input buffer + input_ptr = input.device_pointer; + // Stride covers the width of the new input buffer, which includes tile width and overlap + input_stride *= rect_size.x; + + TileInfo *tile_info = tile_info_mem.alloc(1); + for (int i = 0; i < 9; i++) { + tile_info->offsets[i] = rtiles[i].offset; + tile_info->strides[i] = rtiles[i].stride; + tile_info->buffers[i] = rtiles[i].buffer; + } + tile_info->x[0] = rtiles[3].x; + tile_info->x[1] = rtiles[4].x; + tile_info->x[2] = rtiles[5].x; + tile_info->x[3] = rtiles[5].x + rtiles[5].w; + tile_info->y[0] = rtiles[1].y; + tile_info->y[1] = rtiles[4].y; + tile_info->y[2] = rtiles[7].y; + tile_info->y[3] = rtiles[7].y + rtiles[7].h; + tile_info_mem.copy_to_device(); + + CUfunction filter_copy_func; + check_result_cuda_ret(cuModuleGetFunction( + &filter_copy_func, cuda_filter_module, "kernel_cuda_filter_copy_input")); + check_result_cuda_ret(cuFuncSetCacheConfig(filter_copy_func, CU_FUNC_CACHE_PREFER_L1)); + + void *args[] = { + &input.device_pointer, &tile_info_mem.device_pointer, &rect.x, &task.pass_stride}; + CUDA_GET_BLOCKSIZE(filter_copy_func, rect_size.x, rect_size.y); + CUDA_LAUNCH_KERNEL(filter_copy_func, args); + } + +# if OPTIX_DENOISER_NO_PIXEL_STRIDE + device_only_memory<float> input_rgb(this, "denoiser input rgb"); + { + input_rgb.alloc_to_device(rect_size.x * rect_size.y * 3 * + task.denoising.optix_input_passes); + + CUfunction convert_to_rgb_func; + check_result_cuda_ret(cuModuleGetFunction( + &convert_to_rgb_func, cuda_filter_module, "kernel_cuda_filter_convert_to_rgb")); + check_result_cuda_ret(cuFuncSetCacheConfig(convert_to_rgb_func, CU_FUNC_CACHE_PREFER_L1)); + + void *args[] = {&input_rgb.device_pointer, + &input_ptr, + &rect_size.x, + &rect_size.y, + &input_stride, + &task.pass_stride, + const_cast<int *>(pass_offset), + &task.denoising.optix_input_passes, + &total_samples}; + CUDA_GET_BLOCKSIZE(convert_to_rgb_func, rect_size.x, rect_size.y); + CUDA_LAUNCH_KERNEL(convert_to_rgb_func, args); + + input_ptr = input_rgb.device_pointer; + pixel_stride = 3 * sizeof(float); + input_stride = rect_size.x * pixel_stride; + } +# endif + + if (denoiser == NULL) { + // Create OptiX denoiser handle on demand when it is first used + OptixDenoiserOptions denoiser_options; + assert(task.denoising.optix_input_passes >= 1 && task.denoising.optix_input_passes <= 3); + denoiser_options.inputKind = static_cast<OptixDenoiserInputKind>( + OPTIX_DENOISER_INPUT_RGB + (task.denoising.optix_input_passes - 1)); + denoiser_options.pixelFormat = OPTIX_PIXEL_FORMAT_FLOAT3; + check_result_optix_ret(optixDenoiserCreate(context, &denoiser_options, &denoiser)); + check_result_optix_ret( + optixDenoiserSetModel(denoiser, OPTIX_DENOISER_MODEL_KIND_HDR, NULL, 0)); + } + + OptixDenoiserSizes sizes = {}; + check_result_optix_ret( + optixDenoiserComputeMemoryResources(denoiser, rect_size.x, rect_size.y, &sizes)); + + auto &state = denoiser_state[thread_index].second; + auto &state_size = denoiser_state[thread_index].first; + const size_t scratch_size = sizes.recommendedScratchSizeInBytes; + const size_t scratch_offset = sizes.stateSizeInBytes; + + // Allocate denoiser state if tile size has changed since last setup + if (state_size.x != rect_size.x || state_size.y != rect_size.y) { + if (state) { + cuMemFree(state); + state = 0; + } + check_result_cuda_ret(cuMemAlloc(&state, scratch_offset + scratch_size)); + + check_result_optix_ret(optixDenoiserSetup(denoiser, + cuda_stream[thread_index], + rect_size.x, + rect_size.y, + state, + scratch_offset, + state + scratch_offset, + scratch_size)); + + state_size = rect_size; + } + + // Set up input and output layer information + OptixImage2D input_layers[3] = {}; + OptixImage2D output_layers[1] = {}; + + for (int i = 0; i < 3; ++i) { +# if OPTIX_DENOISER_NO_PIXEL_STRIDE + input_layers[i].data = input_ptr + (rect_size.x * rect_size.y * pixel_stride * i); +# else + input_layers[i].data = input_ptr + pass_offset[i]; +# endif + input_layers[i].width = rect_size.x; + input_layers[i].height = rect_size.y; + input_layers[i].rowStrideInBytes = input_stride; + input_layers[i].pixelStrideInBytes = pixel_stride; + input_layers[i].format = OPTIX_PIXEL_FORMAT_FLOAT3; + } + +# if OPTIX_DENOISER_NO_PIXEL_STRIDE + output_layers[0].data = input_ptr; + output_layers[0].width = rect_size.x; + output_layers[0].height = rect_size.y; + output_layers[0].rowStrideInBytes = input_stride; + output_layers[0].pixelStrideInBytes = pixel_stride; + int2 output_offset = overlap_offset; + overlap_offset = make_int2(0, 0); // Not supported by denoiser API, so apply manually +# else + output_layers[0].data = rtiles[9].buffer + pixel_offset; + output_layers[0].width = rtiles[9].w; + output_layers[0].height = rtiles[9].h; + output_layers[0].rowStrideInBytes = rtiles[9].stride * pixel_stride; + output_layers[0].pixelStrideInBytes = pixel_stride; +# endif + output_layers[0].format = OPTIX_PIXEL_FORMAT_FLOAT3; + + // Finally run denonising + OptixDenoiserParams params = {}; // All parameters are disabled/zero + check_result_optix_ret(optixDenoiserInvoke(denoiser, + cuda_stream[thread_index], + ¶ms, + state, + scratch_offset, + input_layers, + task.denoising.optix_input_passes, + overlap_offset.x, + overlap_offset.y, + output_layers, + state + scratch_offset, + scratch_size)); + +# if OPTIX_DENOISER_NO_PIXEL_STRIDE + { + CUfunction convert_from_rgb_func; + check_result_cuda_ret(cuModuleGetFunction( + &convert_from_rgb_func, cuda_filter_module, "kernel_cuda_filter_convert_from_rgb")); + check_result_cuda_ret( + cuFuncSetCacheConfig(convert_from_rgb_func, CU_FUNC_CACHE_PREFER_L1)); + + void *args[] = {&input_ptr, + &rtiles[9].buffer, + &output_offset.x, + &output_offset.y, + &rect_size.x, + &rect_size.y, + &rtiles[9].x, + &rtiles[9].y, + &rtiles[9].w, + &rtiles[9].h, + &rtiles[9].offset, + &rtiles[9].stride, + &task.pass_stride}; + CUDA_GET_BLOCKSIZE(convert_from_rgb_func, rtiles[9].w, rtiles[9].h); + CUDA_LAUNCH_KERNEL(convert_from_rgb_func, args); + } +# endif + + check_result_cuda_ret(cuStreamSynchronize(cuda_stream[thread_index])); + task.unmap_neighbor_tiles(rtiles, this); + } + else { + // Run CUDA denoising kernels + DenoisingTask denoising(this, task); + denoising.functions.construct_transform = function_bind( + &OptiXDevice::denoising_construct_transform, this, &denoising, thread_index); + denoising.functions.accumulate = function_bind( + &OptiXDevice::denoising_accumulate, this, _1, _2, _3, _4, &denoising, thread_index); + denoising.functions.solve = function_bind( + &OptiXDevice::denoising_solve, this, _1, &denoising, thread_index); + denoising.functions.divide_shadow = function_bind(&OptiXDevice::denoising_divide_shadow, + this, + _1, + _2, + _3, + _4, + _5, + &denoising, + thread_index); + denoising.functions.non_local_means = function_bind( + &OptiXDevice::denoising_non_local_means, this, _1, _2, _3, _4, &denoising, thread_index); + denoising.functions.combine_halves = function_bind(&OptiXDevice::denoising_combine_halves, + this, + _1, + _2, + _3, + _4, + _5, + _6, + &denoising, + thread_index); + denoising.functions.get_feature = function_bind( + &OptiXDevice::denoising_get_feature, this, _1, _2, _3, _4, _5, &denoising, thread_index); + denoising.functions.write_feature = function_bind( + &OptiXDevice::denoising_write_feature, this, _1, _2, _3, &denoising, thread_index); + denoising.functions.detect_outliers = function_bind( + &OptiXDevice::denoising_detect_outliers, this, _1, _2, _3, _4, &denoising, thread_index); + + denoising.filter_area = make_int4(rtile.x, rtile.y, rtile.w, rtile.h); + denoising.render_buffer.samples = total_samples; + denoising.buffer.gpu_temporary_mem = true; + + denoising.run_denoising(&rtile); + } + + // Update current sample, so it is displayed correctly + rtile.sample = total_samples; + // Update task progress after the denoiser completed processing task.update_progress(&rtile, rtile.w * rtile.h); + + return true; } void launch_shader_eval(DeviceTask &task, int thread_index) @@ -1899,30 +2191,6 @@ class OptiXDevice : public Device { task_pool.cancel(); } -# define CUDA_GET_BLOCKSIZE(func, w, h) \ - int threads; \ - check_result_cuda_ret( \ - cuFuncGetAttribute(&threads, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, func)); \ - threads = (int)sqrt((float)threads); \ - int xblocks = ((w) + threads - 1) / threads; \ - int yblocks = ((h) + threads - 1) / threads; - -# define CUDA_LAUNCH_KERNEL(func, args) \ - check_result_cuda_ret(cuLaunchKernel( \ - func, xblocks, yblocks, 1, threads, threads, 1, 0, cuda_stream[thread_index], args, 0)); - - /* Similar as above, but for 1-dimensional blocks. */ -# define CUDA_GET_BLOCKSIZE_1D(func, w, h) \ - int threads; \ - check_result_cuda_ret( \ - cuFuncGetAttribute(&threads, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, func)); \ - int xblocks = ((w) + threads - 1) / threads; \ - int yblocks = h; - -# define CUDA_LAUNCH_KERNEL_1D(func, args) \ - check_result_cuda_ret(cuLaunchKernel( \ - func, xblocks, yblocks, 1, threads, 1, 1, 0, cuda_stream[thread_index], args, 0)); - bool denoising_non_local_means(device_ptr image_ptr, device_ptr guide_ptr, device_ptr variance_ptr, @@ -2341,9 +2609,8 @@ bool device_optix_init() const OptixResult result = optixInit(); if (result == OPTIX_ERROR_UNSUPPORTED_ABI_VERSION) { - VLOG(1) - << "OptiX initialization failed because the installed driver does not support ABI version " - << OPTIX_ABI_VERSION; + VLOG(1) << "OptiX initialization failed because driver does not support ABI version " + << OPTIX_ABI_VERSION; return false; } else if (result != OPTIX_SUCCESS) { |